Special Coverage

Mechanoresponsive Healing Polymers
Variable Permeability Magnetometer Systems and Methods for Aerospace Applicationst
Evaluation Standard for Robotic Research
Small Robot Has Outstanding Vertical Agility
Smart Optical Material Characterization System and Method
Lightweight, Flexible Thermal Protection System for Fire Protection
High-Precision Electric Gate for Time-of-Flight Ion Mass Spectrometers
Polyimide Wire Insulation Repair System
Distributed Propulsion Concepts and Superparamagnetic Energy Harvesting Hummingbird Engine
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Key Considerations for Powertrain HIL Test

Safety, availability, and cost considerations can make performing thorough tests of embedded control devices using the complete system impractical. Hardware-in-the-loop (HIL) simulation is a real-time test technique used to test these devices more efficiently. During HIL test, the physical system that interfaces to an embedded control device is simulated on real-time hardware, and the outputs of the simulator mimic the actual output of the physical system. The embedded controller “thinks” it is in a real system. HIL simulation meticulously tests embedded control devices in a virtual environment before proceeding to real-world tests of the complete system. This application note covers recommended best practices for powertrain HIL testing.

Posted in: White Papers, Electronics, Electronics & Computers, Simulation Software, Software

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How to Eliminate Over Half of All Design Errors Before they Occur

This whitepaper explores emerging Natural Language Processing (NLP) technologies that significantly reduce the cost and effort of fixing requirements errors - freeing domain experts from tedious & time-consuming tasks.

Posted in: White Papers, Software

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Searching, Exploring and Visualizing Data Using Maple

With the ever-expanding sea of available data and data repositories, navigating the vast quantities of information can be a difficult task. Maple, the advanced computing software from Maplesoft, is a powerful and interactive data visualization tool that can help users understand data characteristics through various techniques for visualization and analysis. Maple makes it easy to search, filter, explore and visualize varying types and quantities of data. This paper presents several examples of how Maple can be used to search and filter large data repositories, explore and visualize the data in innovative ways and use the data to predict future behavior.

Posted in: White Papers, Manufacturing & Prototyping, Machinery & Automation, Robotics, Electronics & Computers, Software

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Algorithms for Change Point Analysis

Given a series of data, change point analysis involves detecting the number and location of change points, locations in the data where some feature, for example the mean, changes. This has applications in a wide variety of areas, including: Finance, quality control, genetics, environmental studies and medicine. - A brief description linking to NAG Library routines that may help in your applications.

Posted in: White Papers, Aeronautics, Data Acquisition, Sensors, Software

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Achieving Reliable Inline Measurements in Production Environments

One of the most important changes in metrology in the past few decades has been the development of portable measuring devices. This has brought inspection right to the production line, as close to the part as possible. The change—sparked by the development of portable measuring arms and the emergence of laser trackers—has turned conventional industry inspection methods completely upside down.

Posted in: White Papers, Manufacturing & Prototyping, Software, Test & Measurement

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Special Edition: Simulation Gets Personal

To drive sustainable innovation your research and development teams need creative and collaborative ways to think about product, nature, and life working together in harmony.

Posted in: White Papers, Electronics & Computers, Software

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Breakthrough Energy Innovation: Ambition and Urgency

Climate change goals, customer sustainability expectations and pressure to reduce waste demand ambition and urgency from industry to deliver breakthrough energy innovation. Engineering simulation is a key enabler to achieve these breakthroughs. From startups to multinationals, businesses are using engineering simulation to explore the much broader design spaces in the areas of advanced electrification, machine and fuel efficiency, aerodynamic design, effective lightweighting and thermal optimization.

Posted in: White Papers, Electronics & Computers, Energy, Simulation Software

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